Diversity and multiplexing based on GMD algorithm

HE Zhong-tang1; AI Ju-mei2; HU Luo-quan1; ZHANG Li-jun1

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Diversity and multiplexing based on GMD algorithm

更新时间：2024-10-14

- Diversity and multiplexing based on GMD algorithm
- Issue 4, Pages: 136-140(2007)
- 作者机构：
  
  南京邮电大学通信与信息工程学院 2. 东华理工学院信息工程学院
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN919.72
- Published：2007
- 稿件说明：
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HE Zhong-tang1, AI Ju-mei2, HU Luo-quan1, et al. Diversity and multiplexing based on GMD algorithm[J]. 2007, (4): 136-140.
DOI：

HE Zhong-tang1, AI Ju-mei2, HU Luo-quan1, et al. Diversity and multiplexing based on GMD algorithm[J]. 2007, (4): 136-140. DOI：

摘要

针对收发两端已知信道状态信息的MIMO(multiple input multiple output)系统

研究基于GMD(geometric mean decomposition)算法的VBLAST(vertical bell lab layered space-time)系统空间分集与复用性能。该算法将MIMO信道分解为多个具有相同信噪比的并行子信道

其编解码复杂度低

易于实现。在高信噪比下

对该算法的分集与复用曲线进行分析

结果表明该算法的空间分集与复用性能与最优曲线相比是次优的

但优于其他VBLAST方案。

Abstract

The GMD-VBLAST algorithm to treat with the MIMO systems was analyzed

where the channel information at both transmitter and receiver were known.It decomposed a MIMO channel into multiple identical parallel subchannels and provided more convenient for coding/decoding schemes

which was different from conventional SVD method.The diversity and multiplexing tradeoff curve was achieved in the case of high SNR and compared with the optimal tradeoff curve and others VBLAST schemes’.The results showed that this scheme is suboptimal to the optimal but superior to the other VBLAST schemes’.

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